SCANOVICHApplied AI research lab
Projects/prototype

Call analytics

Call recordings become transcripts and structured quality reviews on infrastructure the owner controls.

Status
prototype
Code
public code
Repository
github.com/FUYOH666/Scanovich.ai-audio-call
Research line
Private, local AI
Updated
2026-07-17

Speech recognition, clean-up, classification and review notes, with audio and transcripts kept on the owner’s disks.

What works today

  • One pipeline behind three entry points: web, HTTP and command line.
  • A reference configuration tuned for one class of telephone recordings.

Why it is in the lab

Review teams usually listen to a small sample of calls. The question is how much of the review can be prepared locally, and what has to be retuned for each language and call type.

Evidence

How to engage

A pilot on your recordings — tuned to your language, audio quality and review criteria.

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